Sentiment Analysis and Trend Detection of Tweets using Machine Learning Techniques
Najlaa Musaad Alsadan · International Journal of Computer Applications · 2023
Social media has become the most important source for decisionmaking procedures in many areas due to its wide applications.People all over the world use their accounts to express personal views, experiences and opinions on diverse topics.Tweets on Twitter are mainly based on the public opinion on a product, event or topic and thus hold large volumes of unprocessed data.Researchers classify and cluster twitter data for different purposes such as Sentiment Analysis, topic detection, topic tracking, culture propagation, opinion mining and others.Analysis of this data is important and difficult due to the size of the dataset.In this review article, we cover most of research articles in tweets classification and clustering.We also address machine learning algorithms for analyzing the data.